MAMI Lectures, Part 1

This is the first of several posts in which we’ll share lectures from the Music, Art and Machine Intelligence conference that took place in San Francisco, CA on June 1, 2016.

The discovery of the generative capability of neural nets, at least in the case of DeepDream, was largely driven by the desire to know just what’s going on in there. Start with tensors or with transmitters — when you’re probing a deeply-networked structure the boundaries between exploration and creation are blurry, and very generative. The first six lectures of the MAMI conference explore the creative side of investigation and the investigative side of creation.

AMI is a program at Google that brings together artists and engineers to realize projects using Machine Intelligence. Works are developed together alongside artists’ current practices and shown at galleries, biennials, festivals, or online.

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